{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "os.chdir(\"..\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Run Syns with parameter set C0 with standard parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n",
      "  warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "********************\n",
      "\n",
      "   Going to generate c302_C0_Syns and run for 1000 on jNeuroML\n",
      "\n",
      "********************\n",
      "Set default parameters for C0\n",
      "Opened Excel file: /Users/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/../../../CElegansNeuronTables.xls\n",
      "Opened Excel file: /Users/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/../../../CElegansNeuronTables.xls\n",
      "c302      >>>  Writing generated network to: /Users/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/examples/c302_C0_Syns.nml\n",
      "(Re)written network file to: examples/c302_C0_Syns.nml\n",
      "c302      >>>  Finished simulation of LEMS_c302_C0_Syns.xml and have reloaded results\n",
      "c302      >>>  All cells: ['VD12', 'VB11', 'URYDL', 'SMDDR', 'ASHL', 'AIZL']\n",
      "c302      >>>  Plotting neuron voltages\n",
      "c302      >>>  Generating plots for: Membrane potentials of 6 neuron(s) (Syns C0)\n",
      "pyNeuroML >>> Generating plot: Membrane potentials of 6 neuron(s) (Syns C0)\n"
     ]
    },
    {
     "data": {
      "image/png": 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iIgVqSmilGEdERERqpRoDERGRhGoMFBiIiIgUqPNhKxVlmJgLLAbuBzYFxgCj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\nMJAkST0LA0mS1Ps/JPd+4maocoYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x103ef3290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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9q8dnC/uWBELbeS2Mmzmu0KGYIrZ06VKWLl06YFpra2uBogHJ5qpERM4GvgEs\nwjX4vQ/X7mU9LqEQYDxwgLfMWcBhwHLgi6p6z0gEnyHWccDDwEzgJFVdnTJvOrAZ+JyqXpO23vXA\nW1R10iDbXggsW7ZsGQsX7n3yNMaMPVsis3jlhEtZ/M+vD7pcrCfGtmc207W9HY27aq1wRYRQWXjA\nI1we3j09XB4eUD1W7Fb+8D5O+P672PrUJqYdM7PQ4ZgSs3z5chYtWgSwSFWXj+ZrZ1uycyvwa+AS\nVV01yHJPAL+H3dVIHwZuAUblEkFEKnClSgcBZ6QmOgCq+rqI7ASO9ln9WOC5kY/SGDNaNKFMjG9n\n7ZTJQy4bqYww86T9Rz6oMaxqf7efund1FjgSY/Ir20uSWd74NYMlOgOo6ipV/RSwf6DIciQiIeBm\n4HjgQlV9KsOitwLneIMLJtc9A5jrrW+MKRFtm1qpoI+y/aYUOpSiUD6+GoC+lq4CR2JMfmVVsqOq\nTSIyXlWbc30BVW3KPaxAvo9rS3Q7MFFEBtz8RlVv8v68GrgQeEhEfgDUAp8Fngf+3yjFaowZBU2r\ndlAHVM0eumTHQEWDl+w0W8mOKS25NFDeJiJ/A24C7lBVvx5NhfQGXK+wc71HupsAVHWziJyKS46+\nBfQBdwKfVVXrhWVMCWl7ZTsAtQdZyU42KsZXAdDfaiU7prTkkuz8CTjPe3SIyK24BOIBHQN9L1X1\ntByWfRl4ywiGY4wZA7pfczf8rD84Y78DkyI60ZXs9LdYyY4pLVl3I1DVi3CjD18MPAJcBPwD2CIi\n/ysii0YmRGOMCaZ/l+vqOm6/uiGWNADRCa5kJ95myY4pLTn1mVTVblVdqqrnAlOBjwKvAJ8CnhKR\nVSLyJRE5cARiNcaYnCSaW+mkirIqGxg9G5X1lSQQ4u1WjWVKS+ABIlS1WVV/oaqnArNwdxbvAr4G\nvCIij+cpRmOMCURbWmkPWalOtiQkdFJNosNKdkxpyctoWKq6RVW/B1wK3IYbZPC4fGzbGGOCktYW\nOiOW7OSiR6qg00p2TGkJfG+sJBGZDSwB3gscikt0Hsfr/WSMMYUS6milu8ySnVx0h6uh00p2TGkJ\nlOyIyETg3bgE5wRcgrMKuBK4SVU35CtAY4wJqqyzlZ7K+kKHUVR6w1VIlyU7prRkneyISDVwAS7B\nOdNbdytwHS7BGdX7XBhjzFDKu1vpqZlQ6DCKSm+kGumxaixTWnIp2dmBuzN4B66KKjnGTmIkAjPG\nmOGq7G2vLJutAAAgAElEQVSlY4p1Ds1Ff1k14R4r2TGlJZdk537gRuB2Ve0ZoXiMMSZvov2tJGqs\nzU4u+suriPRayY4pLVknO6p63kgGYowx+VYTa4U6S3ZyEauopqJztG5paMzoCNwby2vD807gQGA8\nrpFyKlXV/xxGbMYYMyy12orUW7KTi3hFFeXNmwodhjF5FbQ31hnALcBg3RwUsGTHGFMQPS09VNJL\nuMGSnVwkotWUx6zNjiktQQcV/AnQCZwN1KtqyOcRzl+YxhiTm/bN7r5YZRMt2cmFRqupiFubHVNa\nglZjzQI+r6r35jMYY4zJl67t7QCUTxxX4EiKTE0N0XhHoaMwJq+Cluy8ANjlkjFmzOre4ZKdiom1\nBY6kyNTWUJWwZMeUlqDJzueBj4rIMfkMxhhj8qV3l0t2KidZspOLUE011XSiCS10KMbkTaBqLFV9\nWEQ+BTwuIi8Dm4D43ovp24cboDHGBNHX5EonqqZYspOLcF0NIZSupm6qJlYVOhxj8iJob6x34gYY\nDAMzAb+ziV0WGGMKpr/JlexUTa4pcCTFJVJXDUDn9g5LdkzJCNpA+dvAauCdqromj/EYY0xexFtc\nslMz1ZKdXJSNd/urp9G6n5vSEbTNznTgZ5boGGPGqnhrOx1UE4oEPc3tm8obXLLTvdMaKZvSEfQs\n8DSu+7kxxoxN7R10hqy9Tq4qGlw1Vl+zleyY0hE02fkE8B4ReXc+gzHGmLxpb6c7bFVYuYpOcvss\n2cDbmFIQtM3OTd66S0XkV8Bm/HtjvWE4wRljTFChzna6I1ayk6tkstPfbMmOKR1Bk50moBF4JY+x\nGGNM3oS72uktt2QnV1WTXDVWrNWqsUzpCDrOzuI8x2GMMXkV6emgr8KSnVxV1lcSJ0S81Up2TOmw\nbgrGmJJU1ttOrMLa7ORKQkIn1STaLNkxpSOrZEdETgj6AsNZ1xhjgqroaydWZSU7QXSFaqDTqrFM\n6ci2ZOcBEXlQRN4tIkMOqSkiNSLyXhF5BLh/eCEaY0zuKvs7SFRbshNEd7gGOqxkx5SObNvszAWu\nBG4A+kXkSeBZ4FWgGRBgPHAAcDRwLO5WEjcAF+U5ZmOMGVI03g41luwE0RupRrqtZMeUjqySHVXd\nBHxQRL4AXAK8HfgoEE1btBt4BvgScIOq7sxjrMYYk7XqeDvUWJudIHrLagh3WcmOKR059cZS1V3A\ntcC1IhIGZgMTvNmNwGuqGstviMYYkxtNKDW0E6qzkp0g+spriPRYsmNKR9BxdlDVOLDeexhjzJjR\n09JDlAThekt2gohVVFNmyY4pIdb13BhTcjq2ujueR+qtGiuIeGUN5X2W7JjSYcmOMabkdG13yU75\nBCvZCSJeVUNFvyU7pnRYsmOMKTk9O12yUzHRkp0gNFpNRdx6Y5nSYcmOMabkJJOdykmW7ARSU0M0\nbiU7pnRYsmOMKTm9O1oBqJlZX+BIilRNNdGEleyY0rHPJjsiUi4i3xGRzSLSJSJPisiZhY7LGDN8\n/TtbABg3y5KdIEK1NdTQgSa00KEYkxdZdT0Xkd8G2Laq6gcCrDdargcuwI0btBZ4P/A3EVmsqo8X\nMjBjzPDEdrXQQwWV9ZWFDqUohetqCKF0NXVTNXHIOwQZM+ZlO87O6UCuKf6YvSQQkWOBdwOfUdVr\nvWk3ACuA7wInFTA8Y8wwaXMLbaF6LNUJJlJXDUDXzk5LdkxJyPZ2EfuPcByj7UIgBvwqOUFVe0Xk\nN8A3RWSGqm4pWHTGmOFpaaEjUs/kQsdRpMrGu/GJund2wPxJBY7GmOHbV9vsHAmsUdX07gZPpcw3\nxhSpcHsLXWXWXieo8oaUZMeYErCvJjvTgK0+07fi7uA+fXTDMcbkU6SzhZ5KS3aCqmhw1Vh9zdYj\ny5SGwMmOiLxFRO4VkUYRiYlIPP2Rz0DzLAr0+kzvSZlvjClSFV0t9FXVFTqMohWd5Ep2+pqsZMeU\nhkDJjoi8E7gTmAL8wdvOUu/vbuAF4Gt5inEkdAMVPtMrU+YbY4pUZW8LsWor2QmqcoIr2elvsZId\nUxqC3vX8C7j2LScB44GPAL9V1QdEZH/gSeDVfAQ4QrbiX1U1zXt+fbCVr7jiCurqBl41LlmyhCVL\nluQnOmPMsFT3tbBjnCU7QVVPcSU7sRYr2THBLF26lKVLlw6Y1traWqBogic7C4AvqGpcRGLetDIA\nVd0gIj8FPo8by2Yseg5YLCI1aY2Uj8d1mX9usJWvvfZaFi5cOJLxGWOGoS7eCA0NhQ6jaFXWVxIn\nRLzVkh0TjF8BwPLly1m0aFFB4gnaZqcL6ANQ1RZc+5dpKfO3AwcML7QR9Sdcoveh5AQRKccNLPik\ndTs3pnj1dfRRry1EZkwpdChFS0JCJ9UkOqway5SGoCU7q3GlO0nPAZeIyI3eNt8LvDbM2EaMqj4l\nIrcA3xKRKewZQXk2cFkhYzPGDE/jqp1MAyr2s1F2hqMrVAPtVrJjSkPQkp2/AG8XkWQj328Ci4EW\nYCdwMvDtYUc3si4BrgMuBn4AhIG3qepjBY3KGDMsbet2AlC9vw2GNxzd4RrosGTHlIZAJTuqeg1w\nTcr/d4rIYuAdQBy4U1UfykeAI0VV+3Dtij5f6FiMMfnTsX4HAOMOspKd4eiNVCPdVo1lSkPQaqy9\nqOo/gX/ma3vGGBNEz2su2Wk4xEp2hqO3rIZwl5XsmNKwr46gbIwpUf2v76CdGruB5TD1l1UT7rWS\nHVMasirZEZFXgQQwT1X7vf+Huqu5quqc4QZojDE52b6D5sgkagsdR5Hrr6yhrMdKdkxpyLYa62Fc\ncpNI+98YY8aUyI4tNFfNYFahAyly8coaqtu2FToMY/Iiq2RHVd8/2P/GGDNW1DS9Rsd4S3WGKx6t\npjxm1VimNAS9N9b7vNtCZJo/W0TeFzQoY4wJqqFzE/3TLNkZLq2qoTJm1VimNARtoPw74MRB5h/v\nLWOMMaMm3hdnamwzMnu/QodS/GpqiMYt2TGlIWiyI0PMrwZiQyxjjDF5tXPFdsrpJzrXSnaGraaa\naMKqsUxpyHqcHRE5AjgyZdLJIuK3fj3wYWDNMGMzxpic7Hp2E1OBusOsZGe4QrU11NCBJhQJDXV9\na8zYlsugghcAX/H+VuBy7+GnBbA2O8aYUdX23HoAph43u8CRFL/wuGpCKN0tPUQbooUOx5hhySXZ\n+SVwJ64K6yngSuDvacso0AmsU1WrxjLGjKq+Z19ia2g602bXFzqUoheprwGgc3uHJTum6GWd7Kjq\nVmArgIicBrysqjtGKjBjjMlVdN0Ktow/jGmFDqQElNVXA9DT2AnYrTdMcQvUQFlVH7ZExxgz1kzd\ntYKO/Q8vdBglIVLrSnN6W7oLHIkxwxf4RqAicjbwAeBAYDx799Cy20UYY0ZN545O9outZ9ORhxU6\nlJJQNs4lO32tluyY4hco2RGR/wK+DewA/gW8mM+gjDEmVxv/vpIFKA2nWLKTD+V1Ltnpb7NkxxS/\noCU7/wk8ALxVVfvzGI8xxgTS+PAKEgiz3zy/0KGUhIp6l+zE2i3ZMcUv6KCC44E/WaJjjBkr4i+s\nYFPkQKonVxc6lJJgyY4pJUGTnaeAQ/IZiDHGDEfNhhVsnWSNk/Nld7LT1lXgSIwZvqDJzkeBd4jI\ne/MZjDHGBDWz+UV65lh7nXxJjq2T6LSSHVP8grbZ+aO37g0i8nNgExBPW0ZV9Q3DCc4YY7LR9Eoj\nUxNbWb/Qkp18KasqI0bYkh1TEoImO01AI/BKHmMxxphANt39Eg3A5NMt2cmnbqIkuizZMcUvULKj\nqovzHIcxxgTW8tgK+ihj9llzCx1KSemRKFiyY0pA0DY7xhgzZsiKFWyonEdZVVmhQykpvaEodFuy\nY4pf4GRHRMaJyH+LyD0i8qyIHOtNbxCRT4vIQfkL0xhjMqvb9CI7p1gVVr71hqugx5IdU/wCJTsi\nMhN4FvgaMBM4AqgBUNUm4HLgE3mK0RhjMtKEMrt9Bf1zLdnJt75wlJAlO6YEBG2g/D2gFjgSd8uI\n9JuC/hU4ZxhxGWNMVrYtf51p2kL0GEt28q0/EkV6LdkxxS9oNdabgB+q6kpAfeavB/YLHJUxxmRp\nyz0rAJh+tg0omG+xSJSwJTumBARNdqLAzkHm1wbcrjHG5KTjyRV0UM2ME2cXOpSSEyuLEu63ZMcU\nv6DJzkrglEHmn49r02OMMSMqvGoFG6oPJRSxzqX5Fi+PEumzZMcUv6Bnh+uA94jI54G65LZE5CAR\nuQE4Abg2HwEaY8xgJrz+Is3Trb3OSIiXR4nELNkxxS/ooII3ishs4BvAN73JdwMCJID/UdW/5idE\nY4zxl4gl2L9rJTsWXFToUEpSoiJKeb/dCNQUv6C9sVDVb3qlOO8EDsKVEq0D/qyq6/MUnzHGZLTl\n8Y3sRze1xx1a6FBKklZGKY9byY4pfoGSHRGZBexU1dfwqa4SkSgwyZtvjDEjYut9L7EfMP3MBYUO\npSRpZZTyhCU7pvgFbbPzKnDBIPPP85YxxpgR0/XMStqoZeqiGYUOpTRFo1RYsmNKQNBkR4aYX4Zr\nu2OMMSMmsmYlr1UvQEJDnZJMIJbsmBKRdTWWiIwD6lMmTfCqs9LVA+8Btg4zNmOMGdT4bStpyrEn\nlqqys7+fxv5+WmMxEkBCFWXvEVLTU6jU/0Uk87zBtiGye1rqc3J7EmD6XvPTXiPT9MFeIySCVkWJ\nYsmOKX65tNm5ArjS+1tx3c+vy7CsAF8aRlzGGDMoTSizO1eyc+67h15WlTsbG/ndtm080tJCYyw2\nChEWv/rL5vGd7rP5QF+ccHm40OEYE1guyc4/gA5cIvNdYCmwPG0ZBTqBZar6TF4iNMYYH6//axMz\n6KT62MF7Yu3s6+M9K1fyQEsLR9fW8omZMzm8uprJZWXURSJEvNKOUEqpB+xdypP6v6pmnjfYNrwS\npOQ8HcPT+1X56V1Pc/lnPsP0Tds5Z850jClWWSc7qvoE8ASAiFQDt6rqipEKLFcicjpwEXAS7k7s\n24AHgC+r6jaf5U/EJW1HAW3AzbjxgTpHLWhjTGBbH3iZGcDUxfMyLrOzr48Tn32W9liMu484grMb\nGkYvwBIwaXUfzZ2v8u2yKkt2TFELOqjgV1P/97qao6qFrNz9DjAeuAV4BTgQ+ATwNhE5UlV335ld\nRI4E7sPd9uIKXHL0X7jxgt42ynEbYwLofH4tfZQx/Xi/poMQV+XCl16iLRbjiYULOTAaHeUIi19Z\nbZQP3347/75gAdt6e5laUVHokIwJJPCggl7j5K8CbwUmetN2AXcBX1XVjXmJMHtXqOqjaTHeAzwM\nfJw97Y0ArgaagFOTJTkishH4pYicqar3jVLMxpiAdN06tpQdwAEZ2pL8bMsW/tnaysNHHmmJTkCR\n2ijnPPEEKNzd1MT7p00rdEjGBBKo67mIzMO117nEe/6B91gGvA94RkQOyVeQ2UhPdLxp/8QlNfOT\n00SkFjgTuCGtyup6XHujoVs7GmMKLvr6OnbVz/Gd19TfzxdffZXLp0/n5Pp632XM0MrGRZnY1sZB\nsRBPtLUVOhxjAgtasvNt3Dg6R6nqi6kzROQw4H5vmcEGHhxxXtuiGmBXyuTDce97WeqyqtovIs/h\n2vAYY8a4huZ1vD73NN95P96yhT5Vvrr//qMbVIkpr3MlYod3YcmOKWpBBxU8FfhheqID4DVa/jGw\neBhx5csVuAEO/5AybRqu04HfOEBbAWuFZ8wYpwllRu96mLN3yU5vIsEPN2/mP6ZNY3J5eQGiKx3J\nZOfQ5hgrOjvpjscLHJExwQRNdspg0JGmurxlAhGnIpvHINs4BddO54+q+nDKrGTlfa/Paj0p840x\nY9T257ZSRTfRw/ZOdu5qbKQxFuMj0+26Zbgq6t3pcPauHhRY1WV3QDfFKWiy8yzwHyJSlz7DG2n5\nA+w9Bk8uTsElU0M9ukRkrk8M84A/Ay8AH0ybnUzS/BKlSgZP4owxY8D2x9YC0HDM3snOjdu3s7Cm\nhgXV1aMdVsmpHO8lOztckvNSp43MYYpT0DY7XwHuBlaJyO+ANd70Q4BLgQnAx4YR1yrg/VkuO6A6\nSkT2ww2A2Ay8zWfcnK24gRH9uhVMA14f6gWvuOIK6uoG5nlLlixhyZIlWYZsjBmOtmfXATDjpAMG\nTO+Jx/l7UxNfs7Y6eZFMdipbutivooKXrGTHZGnp0qUsXbp0wLTW1tYCRRN8nJ0HROStwPeA/06b\n/Rxwiao+GDQoVd2O6x2VExFpwCU6ZcBibzvpVgAx4GjgTynrlgFHAn8c6nWuvfZaFi5cmGt4xpg8\nia/fyPbQVKY0DKx1fqytjZ5EwgYPzJPymnISCInObg6trraSHZM1vwKA5cuXs2jRooLEE7QaC1W9\nT1WPwjXoPQE4EZiuqgtV9f58BZgtEakC/o4rnXmLqq73W05V23ADCl7s9dZKeh9QjRtJ2RgzhoW3\nbmZXdL+9pt/b1MSUsjIOtyqsvJCQ0E0U7ermkGiUNVayY4pU4EEFk7xbMex1O4YC+D1wDPAb4FAR\nSb1hToeq3pby/xeBx4BHROSXuBGUPwPco6r3jlbAxphgoo2baB83c6/pD7e2cvr48XvdkdwE1yMu\n2ZkTjfJqTw9xVcK2f02RCVyyIyKTROQaEVkpIp3eY6U3bUo+g8zSG3Bdyv8dVwWW+rg2dUFVfRY3\nsGAX8H1cI+ZfAe8axXiNMQHVd2ymd/LAkp3+RILnOjo4tra2QFGVpp5QFXS7ZKdPldd7/TqyGjO2\nBSrZ8UpN7gcmA//CtX0R4GDg08AlInLGaN4oVFUPGHqpAcs/Dpw8QuEYY0bQpN7NbJ4xsGRnZVcX\nPYkER1uyk1d9oejuZAdgXXc3+1VWFjgqY3ITtBrrJ0AYOE5Vn06dISLHAn8DfgT4D29qjDEBtW1u\no442yucMLNlZ1t6OAEfW1BQmsBLVF44ivd3sX1mJAOt6esbEiLHG5CJoNdaxwA/SEx0AVX0Kd5+s\n44YTmDHG+NmxfDMANfMGluwsb29nXlUVNZFhN0U0KfoiUUI93VSEQsysqGB9tw1FZopP0GRnB260\n4Ux6vGWMMSavWl7cBEDDEQOTnVVdXSyoqipESCUtFokS6nMJzpxolHWW7JgiFDTZuQ74iIhMTZ8h\nItOBj3jLGGNMXnW/spkEwuQjB94OYk13N4dYspN3sbIo4WSyU1nJup7BrnONGZuClveGgA5grYj8\nBVjrTT8YON/7PyQin05ZR1X1WowxZhjiGzaxMzSFKTV7bvLZGY+zqbeXuZbs5F2sPEpZTwcA+1dW\nckdjY4EjMiZ3QZOda1L+vshn/hFpy4DrFm7JjjFmWELbX6excgap41us9apWDonafXzzLV4eJdqx\nE4BZlZXs6O+nOx4nGg4XODJjshc02cmpm7cxxuRLRct2OqsHDuW12hvZ10p28i9REaW83+3fWRXu\n/slWimaKTdB7Y23MdyDGGJON6vbtNE9fMGDa2u5uGiIRGsrKstpGItFLd/daenu30Ne3lb6+HcTj\n7cTjnd6jA9V+VONAHNU4qomUv+O4wmo//tNVc1t+6Hkjo7x8GgsW/B4RV3KjFVHK4q7kbJY3vs5r\nPT2W7JiiYn00jTFFpa53O7smDBzCa1Nv7+4fYj/xeDdNTXfT1HQ3ra2P0dW1Cojvnh8O1xGJ1BIK\nVRMO1xAOVyFSjkg45RFBpGL3/0P37xj8lgpD39Ji9G/J0Nu7mZ07b6a//0eUl08GQCujlHvJzoyK\nCgR4zUZRNkXGkh1jTNHQhDIhtp31UwdWY23q6WE/r4olVX9/I6+99m22bv0NsVgz0eghjB9/GjNm\nfJzq6kOpqNiP8vKphMM2IjBAU9N9tLQ8SDyecsPPaJSKhEt2KkIhppaX85r1yDJFxpIdY0zR6NjW\nQS3dlM1MS3Z6ezmprm7AtG3bbmDt2v9ENc706ZczbdoHqao6eDTDLTrhsLtbfCLRuWdiNEql7hlb\nZ1ZFBRutZMcUGUt2jDFFo+nl7dQC0f33TnaSJTuqCV555ZO8/vpPmDLlYubM+d/dVTJmcOGwa4eT\nWrIjVQOTndmVlVayY4qOJTvGmKLRumY7ALUH7Ul2OuNxmmMx9qusRFVZs+YjbN36K+bO/TnTp19e\nqFCLUijkSnbi8T0lO6GaKirpJRFLEIqEmFVZyfKOjkKFaEwgQUdQ3k1EponIG0SkOh8BGWNMJl2v\numRn/Lw9yc4mr5Rhv4oKNm++jq1bf8khh/zWEp0AkiU7icSekp3wOHdq79q1p/v5pp4eEhl7lxkz\n9gQu2RGRtwPfwY2aDHAW8ICITATuBb6qqn8dfoimVCViCbp2ddG5rZ3unR30NneR6I+jsTjx3hga\ni+/+P9EfH3qDADmcgDWR28laQgIiw3rONK2stpID3nyIm24y6tu0nRhhxs9p2D1tk9d+ZHLsJdav\n/xwzZ36GadPeX6AIi1uyzU5qyU6k3t1FvnNbOzVTa5hVWUmvKjv6+pjq0yjcmLEoULIjIucCfwae\nAH4PXJWcp6q7RGQLcBlgyY6hY1sHL//8YToffobK1c8zrvU1JvZsZmJiBzUoNYUOcIxYdvU9LPrC\nmwodxpiW2LaDXaHJTI3sKZTe3NtLiDjtGz9HVdUCDjzwWwWMsLiFQsk2O3uSnfIJtQB0bW8Hpu0e\nWPC13l5LdkzRCFqycyXwiKqeJiITSEl2PE8AVoa8D9OE8tx1D9F7zQ85cuvfOYZeGmUCG+uPZNes\nheyYdh6h6VOJNIwjUl9DeUMNkdoo4YoIobIwoXLv2XuEy8Mw5LgkTi6lI9kuqwl1JUGqu/8e6n+/\nv/2mJfrjHPYfx9O1ZnPWce+rQju301IxhdQ7EO/o7+f80P10tj/NUUc9SiiU3cCCZm+hUBkiZQOq\nsSomumSnZ2c7MHBgwWPHjRv9II0JIGiycxjw6UHmbwes+8M+auP9a2l814dZ2Hw/ayoP58nzrmb/\nj5/L7DMOYkIWyUV7LEZTLEZ7LEZHPE5HPE6vKvHUB+z+O5FlXJlHsE1bLsvtJQkQEhnwPGAabgC5\n1L9D3jLJv9f84lTaE92cnONr72vKm7fTUTWwJ9aO3m7erTcyceL51NW9sUCRlY5QqGpAyU50skt2\nene5ZKchEqEqFLKBBU1RCZrsdAGDNUg+ELBb4+6Dnr7qLuZ99T1IZBJPfel2jvnqOczNkOCoKi92\ndvKPpiaeaW9nRWcnm3p7aYtn2T6nlHz3KkIJZXJjI2+ZMKHQ0YxZlZ2NdI6fOWBadcddTNFNzJr1\n5wJFVVrC4eoBJTtVU1yy09fokh0RYVZlJRut+7kpIkGTnQeBS0XkuvQZIjIV+CBw53ACM8Xnyc/9\nmWO+9y6ennYehy2/gVlT/Vvj9CYS/G7rVq7dvJk13d1UhUIsrK3l1Pp6ZldWsl9FBZPKyqgJh3c/\nKkIhwiLuAXv+TiklycbQQ/R7y2W5PcUlbQmfvxOqA5+9+al/J5ddPfdsPvvFj/LZmnW8uaEh6zj3\nNdU9jbSOO2LAtDmdS9kSOZrF444uUFSlJRweWLJTPdUlO/1N7bunza6osJIdU1SCJjtfBJ4EngZu\nwZ2vzxaR03FtdQT4al4iNEVhxa+f5KjvLeFfs97N8etuIhTxH9XgqbY2Ll21ijVdXbxz0iR+cNBB\nnD5+POWhYY+CUDh5SEx2tsKlf3maT82dzJNtbZyQNhqwcWr6m9CGPSVf3d3rmR17hn/Vf6eAUZWW\nUKh6wKCCVROriBMi3rIn2ZlVWcmy9na/1Y0ZkwL9wqjqauAkXFXV13HJzX8B/wO8CJysqhvyFKMZ\n49pfb6f2IxexpmYhR7/0fxkTnT/t2MHJzz5LbTjM80cfzc2HHsqbJ0wo7kQnT3qqxnPc8pVMiES4\nq9FqgP1oQhmfaEQm7Ol2vm3b/9FFFX3jzi1gZKUlHK4acLsICQkd1JBoTUl2rGTHFJnAvzKq+pKq\nnglMBI4DTgCmqOrpqvpyvgI0Y9/yt32ZCbHtjLvtRspryn2X+VtjI/+2ciUXTprEo0cdxWE11uE8\nVX91PdVdzbypoYG7m5oKHc6Y1LWri0p6iUzZU7Kzc+etPMrJTKywXkH5Eg4PLNkB6ArVQsqoybMq\nK9nV30/nvti+zhSlYV9Sq2qzqj6tqv9S1Z35CMoUjw33vsKJz/2EZ970RWafPsd3mfXd3bxn5Ure\nNmEC18+fbyU5PuLjxlPV18xp9fU829FhPyI+Wl91SWDFNFey0929nq6ul3iUE5lc7p9km9yl98YC\n6IrUQkdKmx2v+/kma6RsisRwRlAOA2fjel6NZ+82naqqXx9GbKYIbPngVZSFp3Hc0k/5zldV/mP1\nahoiEW6aP5+wNbz1Vz+e2lgzx40bRwJY1t7OKfX1hY5qTGnf4Kr3qvZzJTuNjXeAlPO0HsPkMhtb\nJ1/C4Wr6+rYNmNYbqSHUObAaC9zAgvOq7U5BZuwLOoLy0cCtwEwyd1xRXHseU6K2Pr2ZYzfezOMX\nXMOpDVHfZf64YwcPtrTwjyOOoDZi953NRMbXU5dopiFaRXUoxJNtbZbspOna7Ep2qvdzJTuNjXdB\nzcn0tEetZCeP/Ep2estriXTtSXZmVFQgYHc/N0UjaH3CT4EocD7QoKohn0c4f2GasWj1J35MF1Us\n/PG/+86PJRJctWEDb21o4KyGBt9ljBOZNJ4K+uhv7eXo2lqeamsrdEhjTs8WV7JTP2cCiUQ/ra2P\n0RF1gwhOsZKdvEkfZwegr7KWSM+eZKc8FGJ6eTkbrZGyKRJBk50jgO+o6h2q2pLPgExxiPfFWfD0\n/+O5Iy6ldnqt7zK37trF6u5uvnbAAaMcXfEpnzIegNYNzRxZU8MLnZ1DrLHv6d/WSJwQtTPG0dGx\nnESii50VRxMG6qzUMG9cA+WOAdNilbWU9w7saj6rstJKdkzRCJrsbCb7cddMCXr+ugeZnNjOxE9d\nnOsy0H4AACAASURBVHGZn23Zwql1dSyq9U+GzB6V01yy07GpmSNqaljb3W2NlNMkdjXRLA2EIiFa\nWh4hFKpie3g+9ZGIDcKYR+HwOGKxgYlNvKqWir60ZMe6n5siEjTZ+Q7wQRGx/p77qM5f/56NkTks\nuPQY3/mrOjt5uLWVy6dPH+XIilN0mmuf07WlmcOrq1FgpZXuDNTUSFuZa5zc2voIdXUn0hQX6q1U\nJ68ikXHE420D7iWXqK4lGrOSHVO8gp4laoEOYK2I/AHYBKRfhqqqXjuc4MzYFOuJcdjav/L8CR9h\ndob7Xl2/fTsNkQjvmDRplKMrTrWzXMlOz7YWDquuRoAXOzs5xu4qvVu4tYnO8gZUlba2p5g+/XKa\n+2KMt/Y6eRUOj0O1n0Sil3DYdTGntpaq+MBkZ3ZlJZt6e0moErKSNTPGBU12rkn5++MZllHAkp0S\n9PL1T3O4NjPh0nN856sqt+7cyfkTJ1JhY+pkpW5/l+z07WimKhxmTjTKi1ayM0B5eyPdVRPo69tK\nf/8OamoW0rIjxngr2cmrSMQl2PF46+5kR+rGUZMY2Gh+VkUF/aps6+tjutcV3ZixKuhZwlqc7sMa\nb7qbZhnP/Pf5V2Gt7OpiTXc33z/ooFGOrHhV1lfSQwXxnc0AHFFdzQsdHUOstW+JdjXRNmkOHR3P\nAlBbexTNW5qZYCU7eRWJuPuyxWJtlJdPASA8oZ4quunr6Ns9Svosb2DB13p6LNkxY17Qe2NtzOaR\n72DN2DBx2d28PPMsIpX+ufJfdu6kNhzmDBsnJictoQa00Y0lc2h1NSu7uoZYY99S3dtEvK6B9vbl\nRCINVFTMojkWszY7eRYOJ0t29pTklE3e01swKXVgQWPGOqtjMDlpfa2VBZ1PEz/trIzL/KO5mTPH\nj6cybEMt5aK1fBLS6O64Mq+qim19fbT09xc4qrGjOtaCjqujo+NZamqOQkRoiVk1Vr4lq7FisT3J\nTuVUd+HSvmnPSCP1kQi14TAbrZGyKQKBkx0ROUJEfiUiy0RkrYisT3usy2egZmxYe9O/CKHMeM/J\nvvM743GebGvjjPHjRzmy4tcZnURZ6y4A5ldVAbC6u7uQIY0ptYlWqK+jo+N5amqOBKA5Zg2U882v\nZCc63X2fu7bsKdkREet+bopGoGRHRBYDTwHnAK/j7o+13vt7Nq6n1iP5CdGMJe33PE6TNHDA2XN9\n5z/a2kq/KqdbFVbOemomEm13JTtzvWRnlVVlAdDf1U81XYQmVNHT8yrV1fNJqNJi1Vh551eyk+wt\n2P1684Blrfu5KRZBS3a+hktuDgEu86ZdraonASfi7pl18/DDM2NN7YuPs3bSiUiGLucPNDcztbyc\ned6Ptclef/0kqntcyU51OMysigpLdjztW9wPb2R2N6BEo4fQFouhYNVYeRYKVSBSPqBkp3Y/d/HS\nv3PggPmzKyutZMcUhaDJzkLgN6raxp7xdcIAqvov4BcU+CagIvJrEUmIyO0Z5p/nVcF1i8hGEbnK\nu5O7ySDeF+fgpifpOvLEjMs81NLCafX1NqJtADpxEnV9O3f/P6+qypIdT8eWVoD/z955h8dRXX34\nvbN9V6veJVuW3G3cbWxTTO+hh4DJF5KQBikYCCEQEuIkBBIIIRAISUhCCcShhGICoZtmU917t2Rb\nvW9vc78/RtWSbVmWtCvpvs8zz+zee2f3rDye+c25556DKd/wLDidE2iMRgEldvoDszmZaLSp7b0r\n20UEM5GaAzw7NpuK2VEMCnordqJAa4apRiACZHfo3wVMOgq7jgohxCzgKqDbgAchxDnAC0A9Rp6g\nF4CfAg8MlI2Dkd2vbSUZDylnzeu2P6TrrPF6ma8S4fUKkZ1Jul6L1I3MtROcTjarXDsA+CuMG6+W\nWYPZnI7VmkmDEjv9hlEyot2zIzRBo0hD1nWdxmqIRvG0/FsoFIlKb8XODmAsGGmSgS3AxR36zwMq\nj860o+IB4HGg+iD99wJrgLOklH+XUl4P3AV8RwjRfTCKguo31wJQfPH0bvvXeb2EpeRYJXZ6hTU/\nCwtRmvcaN/aJTic7g0Eiuh5ny+JPsKrFy5BcjtM5HqBN7KiYnb6ntWRER7zmVGjo6tkB2KumshQJ\nTm/FzqvAQiFE61Xm98AlQojtQohtwAUYU1kDjhDiKmAycNtB+icCE4C/Sik73kX+hPH3+GK/GzlI\nCX+2lv2mEaQWd7/S6lOPB4sQTHO5BtiyoYG9MBOAhm3ty8+jUrJTrcgiVG2IHd1a1iZ22qax1Gqs\nPsdkSunk2QHwWdMwebrG7AAqSFmR8PRW7PwKmEZLvI6U8nGMaaMNwDrgainlb/vEwiNACJGE4aH5\ntZTyYF6dGRilLFZ2bJRSVmBUc5/Rr0YOYlw717I/Y9pB+z9tbmZaUpLKr9NLkoqNOmKe3UaQ8gS1\nIquNSK0hdiKyFIdjLNDu2UlR51ufYzanEI12FjZBexoWb2fPTr7VigaUKs+OIsE5Yv+vEMICTATq\nZYeyuFLKJ4En+9C23vBzjDidPxxiTF7LvqKbvgpAlek+CCPq17Jl/tUH7f/U41FLzo+C1LGG2PGX\nGp6dHKuVFJNJiR0gVt+Ez24lGqvHbi8CoCESwW0yYVb11/ociyUdv39rp7awMxWHp/MzpFnTKLDZ\nlGdHkfD05iqhY3hFLuljW9oQBraebB2OGQdcB9wkpTxU2llHy767R5Fgh35FB2o315CrV2CdM7Xb\nfk80yha/nzlu9wBbNnRILUkHILzfEDtCCCNIWYkdZGMT9blJANhshthR2ZP7D7M5g0ikrlNb1J2G\nI9TQZWyR3c4eJXYUCc4RXymklDEhRCnQn5XfFgDLemKOEGKilHIbhjdnuZTyxcMc0xoA0Z39dg6y\ngqsjN9xwAykpKZ3aFi5cyMKFC3tg8uBk76vryQRyz+he7GxoWTU0LSnpsJ8ViwUJhyuJRhvbtlis\nGV0PI2W4ZR9qey9lDJAYjsT27XDvBxNC2Bg58hYaRBqxqtq29okuF5vUiixoasKTb8SH2O0jgZbs\nyUrs9AsWS1exo6ekkRTuKnZG2+3K+6jowpIlS1iyZEmntqampoOM7n96e6X4I/B9IcTfpZT1fWlQ\nC1uAr/VwbIUQ4lTgbOBiIURRS7vA+H2OlrZ6KaWH9umrPGD/AZ+VB3xyuC+87777mDlzZg/NGxp4\nPt9KBDMjTh7dbf96nw8T7WUOAKSU+HwbaG5egcfzOT7fBoLBPYTDB1+oJ4QFIaxomrUluZkFI/2R\naNuMHD4C0Dq8PrCvdRsM6Ph863G7Z+M3Z0FN51w7z9fUIKUc1rmLNG8TgclmwITVasw0q1IR/YfF\nkk402oCUOkK0TABkZJASq+sydrTDwSv1/XEbUAxmunMArFq1ilmzZsXFnt6KHRPGNNBOIcRzwB66\nekSklPK+3ny4lLIKeKKn44UQIzAe5V848KOAAoy8PzdgLElfg3EXnA183uEz8jAyP/+5NzYPdeTW\nbeyzlFDs7P7mst7nY6zTid1kIhDYRXn5w1RXP0soVAqYcLmOISlpGmlpZ2G3F2GzFWA2p2M2p7Zs\nboSwDssbupSS996zEI020OzIxlxf1dY3wemkORajIhwm39afztTExuxrIpQnsNkK0TTjsqUqnvcf\nZnMGoBONNmGxGKsvzXlZuPESbAxiT7W3jR3tcFAbidAcjZKs/j0UCUpvz8zfdXj9jYOMkUCvxE4v\neJvOeX5aeQRDiN2BsVIMKeUmIcQW4NtCiL90CLL+LkY80vP9b+7gw7lvGzVp4yg+SP96r5dj7T42\nb/4qVVX/xGxOJTv7SjIzLyAl5URMJhUKdTCEEFgsaUSjDfiT83A2tsfOT2rxlG32+4e12LH6m/Dn\nxXDb28/Axmi0kydR0XdYLBkARCJ1bWLHPtLIG1u/tYb8uSPaxo5xGP+3dwYCzFAxe4oEpbdi52D3\nvLggpdyHsWy8E0KI+4EqKeXLB3T9CHgJeFMI8W9gCvA94BEp5Zb+tncwktW4jT1TL+i2T0qJy/Mq\nX5G/pd5sY+zYP5Kb+3VMJnUj6ilmczqRSD3hzHyyqze0tRfb7diEYKPPN6wrydtCTXizw20rscBY\njaVidvqHVrETjdYBYwBwjTJWCzZtr+4kdka3iJ0dSuwoEpheXSmklKV9bUg/0W2kqpTyFSHEJRhL\n1R8AajC8P3Gt55WoRPwRCiO7KRvffXLpjbvv4Ef67YSTz+fYKY+3PQkqeo7ZbHh2ZO44Mta2e3bM\nmsZ4p3PYByk7w43UpQew2dpvsmoaq//o6NlpJXm0IXZ8e2o6jU03m0kxmVTyS0VCc1RXCiFEOnA6\n0Pq4VQq8LaXsGsUWB6SUJYfoWwp0WyRU0Zl9H+ymmBjumWO79JWV/Zbastt5jK9y2/iHsFhU9uTe\nYASE1mMuyidVNhKoD+BIN56YJ7lcbBrmq12c0UZI9mO1GmmypJQDsvRcxiR6WAfd+E50jNplkk5t\nSNpqmgFtsfFtMWiCbvdCiEP3HdjeT597YKyc2WykQegodtLHG2InuK+z2BFCMNrhYKdafq5IYHp9\npRBCLAZ+TNcl3GEhxN1SytuPxjBF4lCzfBvFQO6Czp6d2tql7Np1CxVpi3im6RL+oeIneo3ZnEYo\ntB9niXEzr1lXwciTDa0+2enkjfr6Yb0iy+lsAnOsTewEdJ2wlL1ajRVpjOBd6cW/1Y9/m59weZhI\nTYRwTZhYcww9qKMHdPSgjowOrhQGfYEp2cSUV6agaQ6i0fZVVo50Bx6SiO7vmpx+jMOhPDuKhKZX\nYkcI8TPgduAV4EFgG8ZzwjiMKuK3CSEiUko1LTQECKzfQQA7OTPak0uHQuVs3nwVmZkX8S/zdxjv\n9KEN0xtxX2CxpOPzrSdtgvE3btxU3iZ2Jrlc1EejVEci5Fit8TQzLsTCMczpxo3Uas0FOOKK58HS\nIFVPVlHzfA3eNV7QQVgEjtEObIU2rHlWXFNcmFPMaA7N2Owte4sGmlH5Gw3DE6KJTnu0Dt6UFn3U\ntvahVS/Jo+hr2fdHX9t3ttiw+2e72f/Afiw3dM2103BAaoRWRjscfNTc3KVdoUgUeuvZuQZ4WUp5\n4QHtu4DXhBAvA9eiYmCGBqWlVFiLKDG3J9zesWMRmmZj/Ph/sH1jKeMcarXV0dAas5M5xfBceLeX\nt/W1rsja5PMNS7Hjq/YRM2ZV2sROYw8rngfLguy+fTdV/6xCs2tkXphJwXcLSD4+GccYB5pZlZo4\nkHB1mL1378Xxoywikc7CptmWjam+e7GzLxQipOvYVPkORQLS27MyBXjtEP2vAiosf4hgqyyl3t1h\nFUzDMmpqnmPMmD9gsaSxze9nnJrCOipaV2OlFKUSwE6ktD1IebTDgaVlRdZwxFfpIXyA2GmIGBVh\nDuXZqXyyks+O+Yz61+oZc98Yjqs6jkn/mkTeN/JwTXApoXMQUk5IIeaJoYWzCIU6lxD0u7KwNXWd\nxhpttyOB3WoqS5Gg9PZ/+3Jg7iH657WMUQwBUhpL8WcZYkdKyZ49PycpaRbZ2VfgjUYpD4eVZ+co\nsVjS0XU/kjDV5nzk/nbPjqV1RdYwDVIO1HgNsRNzYDYb5UgONY0lpWT34t1s+coWMi/KZO7WuRRe\nV4g5Sa3c6gnJc5KNtLG16V2ynYdSsnH6unp2xrY87GxXYkeRoPRW7FwDzBdC3CeEGCOE0Fq2MUKI\nP2AIoWv6zkxFPMkKlqEXGPWIGhvfo6npA0aNWowQou3iNlaJnaPCbDaW60ciDTQ58jDXdn6injSM\nl5+H6gyxY5IZbW0Nh5jGKrurjNJflFJ8VzETHp+AOUWJnCPB5DLhmuQiti+FcLjzeRhLzyI51NWz\nk2+14jaZVNFaRcLSo6uAEMJD13w1Zowq49dhLL6EdvEUAtZiTHcpBjG+ah+ZshbzGMOzU17+EE7n\nRDIyzgPan+TUNNbRYbEYy3ojkRp8Kfm46jvnyJzkcvFOY2M8TIs7oTovpINZy25ra4xGsWsadpOp\n09jal2rZfdtuin5eRNEtRQd+lKKHuKa4aN6VQviYyk6rAEVBPtmflCN1aQRntyCEYOIwFuSKxKen\njzz/YbCVkVb0CZWfljEacE8uIhyuorb2RUaP/l3bxW+b30+G2Uy6Ksh4VLTGooTDlYRyi8hfs6pT\n/ySnk9pIhJpwmKxhFqQcrvMg0sFqa18N2F3F83BNmK3f2krGhRmM+vmoAbZyaOGa4qL2vSTk+WGi\n0QYsFiNoylpSgJ0QddvryBif2emYiU6n8uwoEpYeiR0p5df62Q5FgtKwxkiWnTGziMrKfwImcnK+\n0ta/LRBQXp0+wGrNASAcrkIUjyLv8zL0qN4WRDvZZSRr3OjzcfIwEzvRRi9iJDhdeW1tDZFIlyms\nnT/cidQl4/8yftjmI+orkqYkoT+VCkA4XNEmdtwTCgGoXbu/q9hxuXi+tnZY54NSJC5qOYLikPi3\nlBHFRO6sAmpr/0NGxjltFz4wPDsqXufoMZkcmExuwuFKHBOKsBKhak17vMRYhwObEKwdhtMEsSYv\n0WRwuHPa2g7Mnuxd66XqySpKfl2CNWd4icH+wDXFBfXG//OOQcoZUwsAaN68v8sxk5xOPLEY+0Oh\ngTFSoTgCjrZcxAKgBEijPfl4K1JKOVBVzxX9hL67lEpTAVmiiubmj5kw4YlO/dsDAc7PzDzI0Yoj\nwWrNJRKpIm3G2QDUfLaHvNnGzcWiaRzjcrHa44mniXEh1uRBusFi7Ryg3FHs7P7pbhyjHeRenRsP\nE4ccthE2tGgWOnRafp41JZcYGoHtXeout1Wg3+z3U2i3D5SpCkWP6G0G5enA0xjlcA/mr5SAEjuD\nHHPVfhocBYjaFxHCTEbGF9r66iIR6qNRtey8j7BacwiHKymcawTWejaUAse39c9wu/l0OGap9Teg\nO9qLU4Ihdopabqj+rX7q/lvHhMcmGNmOFUeNEIKksZl4wq5OK7LMdjMVWi763q6eneIW7+Nmv58z\n0tO79CsU8aS3np2/AdkYy8s/AZr6zCJFQmFvrMCXnAf1b5CSckKniubbWoIRVcxO32C15hIOV+HO\nd1Mv0ols39Opf0ZSEo9VVg6/LLV6LUCn6dOGaJRpLZ6d/Q/tx5JlIevyrLiYN1RJmpKEpzaHUKis\nU3u9owBTZVexYxLCyAc1DKdaFYlPb6+Yk4E7pZSPSCnXSSlLu9v60lBFfEj2VRDMzKWx8T1SU0/t\n1LetZdn5GOXZ6RMslpy2+Igq+yi0vXs69c9ISiIqJRuG281EM4pRms0dPDuRCGlmMzFfjMrHKsn7\nVh4mu+lgn6DoBa4pLuTebAL+PZ3aPckFOOq6TmOBkSJho1qRpUhAeit2tqOWog8L0kMVME0SizWR\nmnpKp77tfj8FVisuk7rJ9AWt01gATWmjcNZ0fl6YmpSEANZ4vXGwLn6YTA1AV89OmtlM3St1xDwx\ncr+uYnX6GtcUF1TkEGje3ak9lFlIirerZwdgelISa71edKluD4rEordiZzHwPSFEYR/aokgwwt4w\nmbIWMa0WTXOSnHxsp3617LxvsdkKiERqiMWCBPNGkXHATcZlMjHe6Rx2Qcqa1Uim2BqzE9Z1/LpO\nmtlM9dPVuGe7cY5R52Ff4zrGBZW5hCKl7VXTATliJDmhUqTeVdBMT0rCE4uxS5WNUCQYvYrZkVI+\nL4SwA1uEEG8D+4BY12Fy0dEaqIgfNesrKQC0UftwJ89D0zov6d3m9zMvOTk+xg1B7HYjMDkU2os2\nbiyFK3cT8UewONsTNs5ISmL1MPPsaDYP6GA2G3lfWktFpAc16l6po/iO4niaN2SxpFkwR0YQ1bxE\no41t8Xq2SSUkv+qhdmstmRM7x0nNSDJql632ehmjHoQUCUSvPDtCiJOAhwEncD5wLfD9bjbFIKZh\nk7EKQ6buwu2e3alPl5LtyrPTp9hshtgJBktxzx6PhSh739vVacwst5s1Xi9RXe/uI4YkJqcXAlaE\nMKZLWyuep74fQIYkWV9Ugcn9hTNlFADB4J62tvTZowGoXLGry/hsq5V8q3XYCXJF4tPbaaw/As3A\nWUCqlFLrZlOBHIMc344Kwqmgm6q6iJ3yUAi/rquEgn2I3T4CgFColLyTxwNQ8+HWTmPmJSfj13XW\nDaMgZc0ZAH/7edbq2bG848U5wYljlDoH+4uk/LFAZ7GTd3wJAE2rdnZ7zHD0PioSn96KnTHAPVLK\nN6WUwzDxx/AgtKeCxnHGKeJ2z+rUpwqA9j2aZsNqzScYLCVneh4ekgis6Sx2ZiUlYRGCFU3DJ9uD\ncAch2H6eNUSjICH2djPpZ6t8Lv2Je/wICNjxN+5oa0suTKZWZBLZ2tWzA0Y+qOEWV6ZIfHqbZ2cj\nqqL5kEffX0HVBBdmsxm7vXNcxPZAAA0o7qNMqVKXyIhED+noYR0Zlm17GZPG2j+JESjZ8ron7zsh\naE+BKWiv35MA7UITWPOt2O1FBIOlCE2w1zke047OYsduMjEzKYmPmpuHzTyxSApDJKntfUM0SlEp\nRPeHSTsr7RBHKo6WpClJ8Fkhza5NMLa9vdJZgqn04J6dqkiE8lCIfJttgCxVKA5Nb8XOTcBTQog3\npJSf9KVBisRBq67Ae4aZpKRpXQr7bfP7GWW3Y+1BcrtYMIZvrQ/vOi/BPUGCe4KE9oWINkSJNhpb\nzHNgfPvwI3thNvafGmIHoCFrPMmVW7uMOy4lhRdqawfavPjhjEDU3fa2IRJh7koQNkHqgtQ4Gjb0\ncU10wfMj8Rds6dTelDkad033np3WRQsfNTdzaZaKp1IkBr0VOz8EPMAKIcQmoIzuV2NdeDTGKeKL\nvaGCwMgoGc6JXfoOF5wc2B2g+ulq6l6uw/OpBxmVoIGt0Ia9yI5thI2kaUmYU82YU82Ykk1odg3N\nqiGsAs3W8toiECbR7gVp9YwcwXugs6en1QOUQO2N7zZS9psycn9QQJDlAERKxpP/7ptd/rbzk5O5\nb98+KkIh8ob4k3PEH0E6JYLOnp3pGwXJc5IxOVVoYH+i2TQs/tGEtOc7tUcKS8jZ+163x+TbbIyy\n21ne1KTEjiJh6K3YmYpxqS4DkoBJ3YwZslmlPL7hkUPCEajGn+/H6ZzQpW97IMDpaV2nEDyrPexZ\nvIe6l+vQHBrpZ6Yz5oExuGe7cU1xqSy3ByH1tFQqHq0g9HEOoRl7iUa92GZMImtZDTUbq8manN02\n9rgUYwZ5xTB4cvbX+Ii6QAu3pzhoiERYsAGSv67SHgwEdus4PPY6IpH6tsSOlmmTyFteTlNpIylF\nXb1rxyUnD6u4MkXi06sAZSnlKCll8WG2kr42NlH4eNlH8TZhQHCmVIAl1kXsxKRkZyDQaSVWLBBj\n2/e2sXLWSvxb/Yz7yziOrzmeY144hoJrC4yncCV0Dopm1si6NAvvUuNmEghsJf/c6QCULV3TaWyB\nzcZou513GhoG3M6BxlfpIeYCk6X9hhoqC5FaI0k5ToUNDgTuzMkA+Hyb29oyTzLaSl/d2O0xx6ek\nsMrrJRBT09OKxGAYVRPsO2or1sfbhAHBWlAH0EXslAWDhKVsEzvBsiCr5q2i8tFKxtw3hjnr55D/\nrXw1xXCEZF2SReRTo+yB37+FESeV4CEJzwdruow9PS2Nt4aB2AnUeIk6wWRtFzvOlUEAkucrz85A\nkDZxCuiCptJ1bW1FZ44nionG5QcXOxEp+UytylIkCL0WO0IIkxDiCiHEX4QQLwghprS0pwghLhFC\n5PSdmYmFy9R9XZihRKg5BCMDELVis3WuCtJx2Xlgd4DVC1YTa44x8+OZFC4qRLMoDd0bUk5IQRNu\nTOEcfL7NaGaN3e5pWDZ1FTtnpKezLRCgLBiMg6UDR6ixGd0BFnv7EvOM1WGaRpqwZlsPcaSir0iZ\nkw37C2jcu6qtzZ5qp8w6Brl+Q7fHHONykWwy8X5j40CZqVAckt5mUE4FlgP/AhYCFwCtwQNe4AFg\nyJaKSE3dP+Tds/XbagkUgBYsQIjOp8k2vx+LEOQHTaw7Zx3CLJj+/nSSpiYd5NMUPUGzaaSdkobY\nV4Tfb6x+aRg1g9yKrmLnlNRUBAx5707Ya1Q8tzrbK57nbIjSNF0JnYHCmmlFq5iAL7SqU3tV1jG4\n93bv2TEJwalpabw5xM9PxeCht4/gvwEmY2RQLqF9zQtSyhjwHHDuUVuXoDiy9vBWdU28zehXmnfW\nEMwBcze1XrcHApTYbGz/+lbClWGmvjoV+4i+ybcz3Ek7K43o2hF4PcaUgTZzOqPCW/HX+juNS7dY\nmO12D/mbScRnLLG3JhliR+qS3J060YnqfBtIHHIa4aTNGJd3g9DoyYxoXN9tQVCAM9PSWNHcTHNL\nxmuFIp70VuxcBPxRSvkm3a+62gaM6q1RiY5wBPngrWXxNqNf8ZXWEswBu6trkcXtgQAXvGOm7qU6\nJj4+Eec4lUW5r0g/Ox22jCUY2k402kT2ObMwobP93yu7jD07PZ3X6uuJDOE6WdGg4dlxJGcCENgT\nwBEA82RVImIgScmcA7YAvqb2fDuO42eSJWso/2Rvt8eclZ5OVEqWqaksRQLQW7GTAuw+RL+F3i9r\nHxSY69YM6WKMgX01hHLAnTmuS9/+Ch+n/c5P9sJsMi/MjIN1QxfnGCdW31QAPJ5VjLl4Cs24aXj5\nwy5jL8nMpDEa5d0hfDOJhgyx40wzZsmr1xoBr65jXHGzaTiSOXk+ADWbVrS1FV8xF4CyZ7vPK1vi\ncDDG4eD1+vr+N1ChOAy9FTs7gZmH6D8T2NTLz054ZGUm47RNvDqE/xNH6kqJOSE5a0yn9kAsxvxH\nQ1jCkjF/GHOQoxVHQ8a06RB04PF8hslqYlvGfJxrlncZNy0piWK7neeHcDZlGTWEXKvYqVvnweuC\njCLl2RlIUmcWwv5CGva2n4fZU3PZZxpJ6P2DJ9E/Jz2dl+vq0OWQTbumGCT0Vuz8DbhaCHE5b/mZ\n1QAAIABJREFUHXLUCiFsQohfA2cDf+kLAxORyO5UCrNW8feKinib0n9EDcedwzGqU/PmXU1c9CJY\nvpujVsP0E5nnZcPWsTTsN24i3mknMK5mOXq0sydRCMHFmZm8UFNDbIjeTHTdSExnsRlLz73rvewq\ngawhnjk60dCsGtba2fjEik7te/Pmkrb904Med1lWFvtCIT5uVvWiFfGlt2LnfuAJYAlGfA4YK7M8\nwK3AX6WUfz968xKTnY0xzHnl7Ny6idIhuvRXaGUA2GxFndr337+fqBkm/qiou8MUfUDqqamwfRLN\nnuVIKUk593hSZSM7X+7qLP1iVhZVkQjLhmqgsmwGHUwmY9oquinA7mLIsljibNjwIyXpJGLZ2wn5\nqtvaQtOOZWzz50T8kW6POT4lhTyrlWeqq7vtVygGit5mUJZSym8BCzBEz/+ANcBfgZOllNf2nYmJ\nx6vuOtAFF+xbyb17uw/OG+yYHJUQEVit7WUKYoEYtqcaeP98jcwsNY3QX5jsJtymE4lZqwgEtjP+\nq/MIYqP8ibe6jJ2XnMx4h4N/VFbGwdIBQHjQAgIhNPSwjrY9xO5iyFBiZ8DJnXomABUr32hry77s\nJJwE2PxY91NZmhB8MSuL52pq1FSWIq4cVfY3KeWHUsrrpZTnSSnPkVJ+X0r5fl8Zl6joBdmwYyTz\nQx/zt4oKqsPheJvU55ic9dDk6JRjp/rf1ViadMquVPl0+pucqadD1ETtvjdxZjrZkHESSe+/2mWc\nEIJv5OXxfE0NDZHun64HNZoX4Tcycfu3+hFRqBtnwiTEYQ5U9DXpMydCZR51Ze2ie/zCmTSINOqf\n6SrEW7kyO5v94TBvDOEYR0Xio1Ld9oIRKSPwbc7FPWENjliUO0tL421Sn2NK8oCvs6ipeKSCDXM1\n8ieqNP39Tda5RbBlAjU7XgPAt+Bcjql/D1+1r8vYq3JziQGPD0XvjikAAUPs+DYYv90/TsWKxQNh\nEjjqF+C1v4ls8dKYrCa25J9K+qqDi525yclMc7n4c3n5QJmqUHShx2JHCLH0CLeX+tPwQ9h5uhDi\nbSFEoxCiWQjxuRDism7GXSCEWCmECAghSoUQi4UQPSrmVJxazFthL6R4WPz5Kh4qL2er33/4AwcR\nWqofgu31iAJ7AjR/1MzS03QmOVVenf7GlmfDWnU8Xu09dD3MyO+cg40wG+5/u8vYHKuVK7KzuW/f\nviGXc0eYAhAyslj41vvw5mikZqrg5HiRVXARMrOc+i2ft7VFFpzOJM/HNJV1X+VcCME1+fm8XFfH\n3iEa46hIfI7Es/MF4HTgGGBKD7cBRQjxdeB1IIwRKH0T8B4w4oBx5wAvAPXA91te/xSjzMVhGZcx\njj9kboTKTCbXvUqhzcb1O3a0Pe0MBWRqGKLtKfqr/10NDsGHx8MMtzuOlg0fckd9EWn3ULPndUad\nMZZd1vFE/v1ct2NvHjGCslCIfw+xQFBhDkHEiM/xrfdRPlpQqFZixY3CU84Hv5N9q55uaxuz6DzM\nxNhw18sHPe7LOTkkm838ft++gTBToejCkYid/YAdqMVYjTVfSll8iK2kXyw+CEKIIuBB4P6W+KGH\npZR/lVL+UEr5+wOG34sRUH2WlPLvUsrrgbuA7wghumbRO4BxGeNAg9jKSWjHrua+/EJeq68fMtMI\ngfoA0XSJaCt3ZoidxtNd6E7BMS6V0G0gKLhgAewvYP+aJQhNUHb8lUzb9UKX0hEAU5KSOC89nTtK\nS4eUd0dYQsiIMW3l2+BjezFK7MQRa7IL674TaRJL2x7u8ueOYH3SfMwvPnvQ49xmM9cXFvLn8nIq\nQqGBMlehaKPHYkdKOQI4BVgN/AzYK4R4SwjxdSFEIjzqX4vxe34OIITo9o4shJgITMBYHt/xrvCn\nluO/eLgvKkwuxGlxUmqfAOmNZD70F76ak8OiHTuGxFL0ptIGwqlgNucB4N/hx7fWx6rTTUxNSsKm\nqVCvgcCWZcO+/2yaba8SiwUovu1K3HhZ88ul3Y6/s6SEHYEAfxpCsRHCEkZGrEQ9UYJ7gmwYGWOE\nEjtxJTf/KvT87VSvak8wWHfaZUyvfO2gU1kAiwoKsAnBr4dgjKMi8Tmiu5aU8j0p5XeAXAxRUIfh\nTakWQjwvhPiiECJeV6LTgC3AeUKIvYBHCFEnhPilEJ2WbszAqOfVqdiQlLIC2NfSf0hMmompOVNZ\nNtMPW0cRTV/KH8aMIdVs5tINGwZ9RfTmvaVIK9hcBQDU/68eYRH8d2qYWUlqJdZAMvKYb4KribIV\nT1F02hjWJ83H/uTfuh07NSmJb+XlsXjPnqHz9GyNQNTWFpy8Q3l24k7RmV+E+gzK1vy5rW38T7+E\nmShrb1ly0ONSLRZ+WlTEw+XlrPJ4BsJUhaKN3ubZiUgpX5JSXg7kAK0C6Gng5j6070gYC4wE/oGR\n4flS4FWMWJw7OozLa9l3l/64AsjvyZdNy5nGmso1sOF0mL2B6pfe54VjjmGT38+3tm4d1PE7vppd\nADjSRgGG2HGdmMxaAsxJViuxBpK8s+eibZlF+V7jxuL52g+Y2fA22/6zvtvxdxQXYxOCbwzyc7AV\nYY0iYw58632gQWmREjvxxmS1ktz4JXy5LxJsqAMgb3YBn+VdQN7zDx20CjrAosJCJrlcfGfbNsJD\naLpVkfgc1XxEixfnLOBCDI9IENhztEYJA1tPtg6HJQGpwO1Syl9IKV+QUn4FeA1Y1GFaqzUbXneP\nvsEO/YdkTv4cNtVsYvQPfgxNbspX/YKZbjePTpjAU9XVLBrEAcshj5E92Z09ilggRuOyRupOcqAD\nJ6WkxNe4YYbQBNmubxHJX0n1xveY89svUqEVUHXrfd2Oz7Ra+ceECfyvvn5oJLy0RUG349vgI1Js\nJWKF0Q6V0DLejD3tR2AJs/Xlu9varNd/j7GhDax94L2DHmfRNP4+fjxrvF5u3bVrIExVKIBeiB0h\nhCaEOEsI8RhQhVEywgF8C8iWUv6zD+xaAAR6sPk7BBQHWvb/PuCzWu2bccC47h4P7R36D8mJRSei\nS52N2g5Ydhac8hE7l37I5dnZ/GXcOP64fz/X7dgxKGsWRXxGoHVqUTGN7zaiB3VWzJGMsNnUjSYO\njLn064j9o9i+8jYsTgtbv3Aj87c/wa7/be12/LkZGdwyciQ379rFf2pqBtjavkXadZBOfOt91I8z\nk2+14jab423WsMddVIyz7BIakh8h1GTE6cy46TS22qfB4sWH9O4cm5zMPSUl/H7fPh4dyvUFFQlF\nj68aQojjgCuBy4AM4GPgJ8AzUsq+Lru8BfhaD8e2/m8pB8ZgCLCOVGMUK007YHwexgqzjuQBBy/h\n28INN9xASkoK1p1Wrnv9OkrsRcwxWzkt7QZGX/AZ3843ZsK+u20bOwMB/jVxIqmDKL19LGQsX3Zn\n5bHjf7uwjbTxYoaHU9ypCJW5dsAxO63kmm+houAa9q94mXmPf5fKzPup/satlJQ/3+0xvy4uZncg\nwMJNm/jnxIlcnp3d7biEx6YDLrzrvZReYWWcyvGUMIw7+Res2fUCG567hVnfeBihCZp+dAfH/up8\nVv72TWbdeuZBj11UWMhmv59vbt2KVdP4ck7OAFquGAiWLFnCkiWdY7iamg4ewN7vSCl7tAE64AOe\nBS4BZh5u6+ln98WGUYg0Bow6oP3qlvZ5Le8ntfyWaw4Yl9fS/pNDfMdMQK5cuVJKKeUlT18iFzy6\nQEop5bs/uE4uW4ZcftudspU36upkyvvvy4Lly+X/amvlYGHZbWfI95YKKaWUH4/5WH7yjQ2SZcvk\nc9XVcbZs+BKLROV7f58u3316hIz4ffLDa5+UEuQnP1160GPCsZj8yqZNUixbJm/ftUtGYrEBtLhv\neO9/yGW3f0kuY5m8/LfL5Xe3bo23SYoOrHpskVz2hlnWrDWuiXpMl2uST5C7LGOlv85/yGOjui6/\ntnmzZNky+fNdu2RU1wfCZEUcWblypcRYIDSg+kBKecTTWA6MwN9ngc8OsX3esh9Insbw4HyjtaFl\nFdbXMZIHrgSQUm7C8Bx9+4BVWt/FEDvdPyp3wymjTuGjvR/RHGrmhN//HlZOIjz9Hva+uxaAM9LT\nWT9nDpNcLs5Zv57z1q1jzWBYhSAaEV4z/h1+AjsCfH6swKlpnJOeHm/Lhi2a2cTEGY8gUytZ8+9r\nOO7BK/k0+zyKf/1NajZ2n0jQomk8NmECvxg1ijtKSzlu9Wo+iueT1RES9oXQ7SACRpzYh/lh5qkA\n+YRi8mV3IOoK2LTuCiI+H0ITuJc8Ql6kjE/OuO2Qx5qE4B/jx3NHcTG/LC3l+FWrBsf1UTEoORKx\n8/UO29WH2VrHDBhSypeAt4FbhRB/FkJci5FN+TjgFillxyqJPwKmAm8KIb4phLgfI+PyI1LKLT39\nzi+M+wIRPcIbO9/AZDYxauoToEl2rr0cb7mxSmGE3c7rU6fy9KRJbAsEmLFyJQtWr+bJykoaE7Rw\nozA3gdfatuT83uIGrsjOxmnqUTUNRT+RNWM2mVU/x1v8T7a98EeKXn8EKQSV8y4iUN99qJkmBD8b\nNYoPZswgIiXHrV7N2WvX8t/aWqIJvhrGV9dSONKXjHRqlOfDfCV2EgqrM4mJ45egZ5ey8qkr0WMx\nSs6dwMcX3MnJq+5j+ff+dcjjhRDcVlTEhzNm0BSLMWPlSi7ZsIG3GxoGZbyjInERcgidUEIIJ8Yy\n88uBdGAr8Bsp5YFBywghLsBIQDgRqAEeBX4lpTxokhwhxExg5cqVK5k5cyYAUx+eyvTc6Txx8RMA\nfHLHnwjMvhHWjmP2V94lKb/dGxLRdZ6vreXh/ft5r6kJsxCcmJLCiSkpzE1OZkZSErlWa9zjYt7/\nTQE4Q6S+9g57mgJc9OsA6+fMYbLKnBx3dF3ns79fTqDkeQo8DxNumE7x1SezMesUJm96FmfmwWNa\nYlLy7+pq/rBvH597PKSZzZybns5Jqakcm5zMZKcTcwIljCxfs4FtjVPQHllMxcbT+MVfrWw69th4\nm6Xohm0v/pny5O/i2vllZl39GEJoLB/7Vebsepq1P32OY391/mE/I6LrPFVVxW/KytgaCFBgtXJO\nRganpqYyx+2m2OFQ1e4HOatWrWLWrFkAs6SUqwbyu4eU2OlvuhM7ty+7nQc+eYDyH5bjtBg3muU/\nuYvISYthVyFFxf+i+Oy5XT5rbzDIf+vqeLW+no+bm6lt8fK4NI0xDgfFDgfZFgtZFguZFgsZFgtJ\nJhNOkwmnpuE0mXBoGnZNwyQEJgy3cNvWzXswJktb922vW86B1rbPHsomGk5B/OxR/vY1Sc4PC7lv\nzJg+/3sqekcsEuGzx79IsPi/pO3/IeG9pzLpp5eyK2ka6W/8m4L5Iw/7Gas8Hl6sreXlujrWeb3o\ngFUIRtntFNvtjLLbybRYSG8599LNZpwmE/aWc67jZhECgeFF0jrsu2vTWsaCMWcckxJdSmKALmWn\ntt0rluPjVMJ33cPrttkUPDSaG0eM6ObXKBKBTc/8lurMW7HuOpWZlz6DMLlYPWEhsype5qMrHuDE\np65BaIcXK1JKPmluZkl1NW83NLCxpciyQ9OY4HQy0mYj32Yj32ol02LBbTbjNplINplwm83YhMDS\ncl5aO7w2t5x7AsOj1GpJT9ra2pXYOiqU2BkkdCd2dtbvZMwfx/D4RY9z1bSr2sauvPdxPCNvBEcI\n3riC+Xc8gC25+6duKSV7gkHWer3sDAbZEQiwJxikJhymJhKhNhLBP4BTDn/h29RXT2De5Tfy0tIM\n7j5vMpYEeuJXgB6LsubxG2ku+SOm0hk4a24k95af4NI9rLviLub/7RtYnD1bAeiNRlnt9bLW62VX\nMMjuYJDSYJC6SIS6SARfnKa7itjDY3yd6HV/5NUvzObOX83BrqZSE5rdrz1Jqf5tCLgZYbubEacu\n5KN5P+Sk9Q/ySc755PzzXkadMfaIPrM6HGaN18tGn49Nfj/7QyHKQyH2h8PURyLE4+zsKIDiwfkZ\nGbw4ZcBrbR81SuwMEroTOwBn/PMMPCEPH33jo07Kv+LTLWx96VtwxodQkQUfnUXJJTcy8uTDVqTo\nQiAWw6/r+GMxAi17v64T1HViUhobtL/u5n2rbR2fXjrtW/qzPhpN8JMzSX3yJk4sm6+eZhKYsrdf\nYnfNImR2GeYdC4j9J5fj3n6W/VoJe865lil3X0XG+Myj+o6QrtMQiRBsOd9at0DLPtrikZEte73D\nXkKXttabkwnD02Nq8fqYOnh/TEJQ++5LjM78JnzzEaY9dRlpc1VCy8FA446tbHz/aiIlK9D2jSfb\nfg0Nn2Qz8r5byIpV8mnJFaTcfA3HfGt+jzw9h0JKSUDXaY5G8cRiNMdihHWdiJTGpuuEW15HW1fm\ncICH+zBtHT3gB7bFiyKbjbMzMuJsxZGjxM4g4WBi57Udr3HOU+fw6pWvcs7Yc7oct+aPS2isvw+O\nWw2aDptHw65xmK1zyJ51AsXnnYDFmTgp8D/4ryC25JuMyL+F0feMjrc5isMQDQXZ/uJDVOsPIfN2\ng8cNKyeSvi5M+pZmaurzaRp/Ko7jZ1Jw3nQK5o886pvMQPD5I3/AO/YG+OaTLNiyEM2svIuDBV3X\n2f/eK5TuvpPoqE8gYsG0bwax9SNJW15G8Z5teOts7BxzLsyfT+aZMxl1zkQc6Spp6VBGiZ1BwsHE\njpSSkx47ifpAPSu/vRKbuXvhUvHJFrY+9XvIWgWTd0B6yzLgsAUqM6HRDU1u8Loh4oSYDaQDcCA0\nF0LYQDOhCTMIE0IzG+9NFoRmRphNoJkQJoHQtJbHj5abWus/sxAgRevvaXlMES3DBFLX8R3/Tbjn\nJmbf9XOSpqrCn4MFXdep/vRDyrc8jVd8gJ63xSikCdDkRqtKw9RgR2u2IpsdxPxOdN2B1O2AHTQn\nmJxgsiLMJoTZgtAsCLMZYbGgmcwgNARay/mnGaJJtG4ALeceLeeXgE6LPtsek1vPwQ4/QIpOj8ye\n+jfgvH/huOcV5r5ybr/8zRT9T9Pu7ZQt/yfNoXeJ5K0EpxGDg88JNamY6p2Y622Ym03oAQvRkJNY\nxIWuO0Czg9kBFptxXpqsCJMFTFY0i7Fh0kAI41wSAiE0hMm4zhnnJ6BpbeepcV5qaJrRLmg/dzsh\n+/iBoA895M6cHCZcefCkjYlKPMWOyrveBwghePDcB5n919n85O2fcO9Z93Y7Lm/uBPLm/hWAWDTG\nrpfep3rlR0Q8m8FaBUnNkOyB/Bqwh4x4H1sI7CGkSW+7DwzEHLXmzlBCZ5ChaRq58xaQO28BANFg\ngNr1n+HZvxl/0068oR1ErNVQ0AjjKiHJC7YwWMPtoqiFRHDVAxAxk/+VI4vxUCQWKcVjmVL8SwD0\naJTGbZtp3LMWb/0mQpEKIq4KQkmVhGxNYA2CPQCOoHENPICO52ViJ07oX5o/msYEBp/YiSdK7PQR\nU3OmcvcZd3PD6zeQm5TLTcfddMhYF5PZxNhLT2Hspacc9rNj0Rj+ykaC9R6i4RCxYAQ9HCIaihCL\nhNHDEfRImFgoAjGJHo62RdC1ee6EsRe0v5c6LeMkyPbLiMnuZOKTh18qqkhszHYHuXMWkDtnwWHH\n6nqMWDBINOgj5g8R9UcI+4NEfSHCvhDRYIhYIIyux5B6DPQYUtfRozrQci5JQNeR6CBbziYp2x6Y\n28+9bgwQ3UgrAUmFIxlxhRI7QwXNbCZ90hTSJx0+uFaPRYn5Q+iRCHosgh6JEA2FCDcHCPsChD0B\nov4gejgGUkfqLXE1umx5L5ExaZyPumyv1xXTW8bpLdc96Byx0/f09QSKY9QgLf8SR5TY6UOun3c9\ntf5abn7rZlZVruKeM+6hMLnwqD/XZDbhLszAXTj4AtIUgwNNM6E5XVicLiNDlUIRZzSTGc2tblGK\nvkGdSX3MHafeweSsySx6bREl95dw7thzOb3kdGbkzqAwuZCcpBxsJlsnr48udSKxCOFYmIgeIRKL\nENEjRPUoMT1m7GWs0+sD+6J6FF22O3YPjMWSBzyxHK7farIyLWcaOUmqQN9wREpJIBrAF/bhi/jw\nR/xt51zruXiwfet52L76T3R53ZrR5HCvhRC4rW6m505XqwIVgHFu+iN+vGEvvoiPSMy4VrZurdfO\n1i2mG3liW69x7XnFZKfP7O2YeJCblMv8EfPj9v2DESV2+oGFUxZy3rjzeHT1ozy98WlufP1GInrn\nmAhNaJg1cxeRkkiYhInr513Pb0//LSZN5TcZKoSiITbVbGJr3Va21G6htKmUKm8VVb4qqn3VNAQa\n8Ef8XQRwPPnCuC/w/Jeex2LqWe4gxeAkpsfYUb+DjTUb2VSzibKmMso95VR4K6jyVtEcasYb9ibU\nuRkPzh93PksXLo23GYMKJXb6iWRbMovmLWLRvEWEoiG21m2lwlNBta+6zXsT1aOYNTMWkwWryYpF\ns2AxWdr2Zs2MWTNjEiZMmqnttVkzd/teExrigICI7p6GDxzT3Th/xM8zG5/htnduw6yZ+c3pv+nb\nP5BiwJBSsrZqLf/Z9B/eLX2Xz/Z/RihmBH9mu7IpSSshNymX2XmzyUnKIc2ehsvqwmVx4bK6cFqc\nOC1OLJoFk2ZqOx8PtteE1um7Oz4JS2SnJ+RDvW49bnXFaq58/koe/vxhrpt73YD93RQDw/7m/Ty7\n6Vne3v02H5R+QFPIWKWa7kinOLWYPHces/JmkZuUS4otBbfNTZI1CbfVjcvqwmqytl0rO24WzbiG\nakLr5FkEurzvru1Ixgw0Fk2J/iNFiZ0BwGa2MTVnKlNzpsbblCPilhNuQSC49e1bWXjMQqblTou3\nSYojwBv28tiax3jw0wfZWreVVHsqpxWfxm9O/w1zC+YyMWsiqfbUeJt5WMZljOO/2//LA588wA+O\n/YGazhoCSCl5c9eb/G7F73hr11tYTBYWFC3gpuNu4rgRxzE5azLZrmz1b63oM5TYURySG+ffyCOr\nHmHxe4t54fIX4m2OogfE9Bh/X/13bnvnNhoCDVw66VLuP/t+Tik+BavJGm/zesXXpn2NJ9c9yZrK\nNczIO/IM5IrEYV3VOq595VpW7F3B7PzZ/O2Cv3HJxEsGhfBWDF6U2FEcEovJws3H38y1r1zL3qa9\njEhRhRgTmdLGUhb+ZyEf7fuIq6ZdxS9P/iVFqUXxNuuoOWHkCTjMDt7e/bYSO4MUXerc+cGdLH53\nMeMyxvHal1/jzNFnKu+NYkBQ+dcVh2XhMQtxmB38Y/U/4m2K4hC8ufNNpv9lOuWecj74+gc8ftHj\nQ0LogDEVfPzI43mv9L14m6LoBf6In4ufvpjbl93OrSfcyppr1nDWmLOU0FEMGErsKA6L2+bm0kmX\n8vTGp+NtiuIgPLvxWc7713nMK5zH6u+s5oSRJ8TbpD5nTv4cVlUMaIZ5RR/gDXs571/n8faut1m6\ncCm/OvVXg3Y6VTF4UWJH0SMunXgpm2s3s6V2S7xNURzAf7f9lyv+cwWXTb6MpVcsJc2RFm+T+oUZ\nuTMo95RT5a2KtymKHhKJRbj46Yv5vPxzXv+/1/nCuC/E2yTFMEWJHUWPOKPkDFwWFy9sVkHKicQn\n+z7hS89+iQvHX8gTFz0xpPPQzMwziu+urlwdZ0sUPeWG12/g3T3vsvSKpRw/8vh4m6MYxiixo+gR\nDouDc8aew/Nbno+3KYoWav21XPrMpUzPnc5Tlzw15BM/lqSV4La6WVO5Jt6mKHrAk+ue5KHPHuKh\ncx/ilOLD1wBUKPoTJXYUPeai8Rfxefnn7G/eH29Thj1SSr724tcIRoM8c9kzOCyOeJvU7wghmJIz\nhfXV6+NtiuIw7G3ay/de/R5fnvJlvj3r2/E2R6FQYkfRc84dey4mYWLpVpWmPN48uuZRXtn+Ck9c\n/ESfFJsdLEzNnsq6qnXxNkNxCKSUXL30atxWNw+e+2C8zVEoACV2FEdAmiONk0adxEtbX4q3KcMa\nT8jDT97+CVdOuZJzx54bb3MGlKk5U9lSu4VwLBxvUxQH4blNz/HWrrf46/l/VYkCFQmDEjuKI+LC\n8Rfyzu53aA41x9uUYctdH95Fc6iZ35w2/OqVTc2ZSlSPqlWBCYo/4ueHb/yQ88edP+yEuCKxUWJH\ncURcOP5CInqE13e8Hm9ThiV7Gvfw+49+z03H3TQss1kfk30MgJrKSlDuXn43Vb4q7jvrvnibolB0\nQokdxRFRlFrEtJxpaiorTvz4rR+T4czg5uNvjrcpcSHFnkJRSpESOwlIrb+Wez+6l0VzFzE6fXS8\nzVEoOqHEjuKIuWD8Bbyy/RUisUi8TRlWfFj2Ic9sfIY7T72TJGtSvM2JG1NzVJByIvK7Fb8DGLZC\nXJHYKLGjOGIuHH8hjcFGPij7IN6mDBt0qXPD6zcwK28WX5n2lXibE1em5kxVy88TjGpfNQ9++iDX\nHXsdmc7MeJujUHRBiR3FETMzbyaFyYW8tEVNZQ0UT657ks/LP+e+s+5DE8P7v+3UnKmUe8qp9dfG\n2xRFC/csvwdNaPzwuB/G2xSFoluG91VT0SuEEFww7gJe3PoiutTjbc6Qxxf2cevbt3LZpMs4sejE\neJsTd6ZkTwFgfZXy7iQCVd4qHvrsIRbNXUS6Iz3e5igU3aLEjqJX/N/U/6OsqUytyhoA7l5+N7X+\nWn57+m/jbUpCMDZjLDaTTcXtJAh3L78bi8nCjfNvjLcpCsVBUWJH0SvmFc5jZt5MHvxMZUjtT8qa\nyrh7xd3cOO9GitOK421OQmDWzEzOnqzidhKAKm8VD3/+MNfPvZ40R1q8zVEoDooSO4peIYTgB8f+\ngFe3v8rqClWFur+49e1bSbYlc+uJt8bblIRCrchKDO5ZcQ8Wk4Xr510fb1MUikOixI6i1/zf1P9j\nfMZ4bn7rZqSU8TZnyPFh2Yf8a/2/+PWpvybZlhxvcxKKKdlT2FC9gZgei7cpw5YqbxXnOQ1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MB7a40+4WZjsHZGelmazrcNY+j1v7v1WgB84dbtiSgq04B2RkuZ+tCzyTw77rR2r0dCyTOgztfa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\njUYT1ehgR6PRaDQaTVTz/wGjEBdfXk6KVQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x104195fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-18 11:52:35.484276. Please add timezone info to timestamps.\n",
      "  chunks = self.iterencode(o, _one_shot=True)\n"
     ]
    }
   ],
   "source": [
    "from runAndPlot import run_c302\n",
    "\n",
    "%matplotlib inline\n",
    "cells, cells_to_stimulate, params, muscles = run_c302('Syns',\n",
    "                                                      'C0',\n",
    "                                                      '',\n",
    "                                                      1000,\n",
    "                                                      0.05,\n",
    "                                                      'jNeuroML',\n",
    "                                                      verbose=False,\n",
    "                                                      plot_ca=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## List current parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Known BioParameters:\n",
      "    BioParameter: cell_diameter = 5 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: muscle_length = 20 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: muscle_specific_capacitance = .6860 uF_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_specific_capacitance = 5 uF_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: initial_memb_pot = -50 mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: muscle_spike_thresh = -20 mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_spike_thresh = -20 mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: muscle_leak_cond_density = 0.00105 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_leak_cond_density = 0.1 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: muscle_k_slow_cond_density = 0.24491 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_k_slow_cond_density = 0.1 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: muscle_ca_simple_cond_density = 0.1953 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_ca_simple_cond_density = .2 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: leak_erev = -64 mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: k_slow_erev = -90 mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: ca_simple_erev = 60 mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: ca_conc_decay_time = 20 ms (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: ca_conc_rho = 0.0002 mol_per_m_per_A_per_s (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: global_connectivity_power_scaling = 0 (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_to_neuron_exc_syn_conductance = 25 nS (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_to_muscle_exc_syn_conductance = 25 nS (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: exc_syn_ar = .5 per_s (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: exc_syn_ad = 50 per_s (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: exc_syn_beta = 0.125 per_mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: exc_syn_vth = -25 mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: exc_syn_erev = 0 mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_to_neuron_inh_syn_conductance = 60 nS (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_to_muscle_inh_syn_conductance = 0.25 nS (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: inh_syn_ar = .5 per_s (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: inh_syn_ad = 50 per_s (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: inh_syn_beta = 0.125 per_mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: inh_syn_vth = -30 mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: inh_syn_erev = -80 mV (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_to_neuron_elec_syn_gbase = 0.05 nS (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: neuron_to_muscle_elec_syn_gbase = 0.0001 nS (SRC: BlindGuess, certainty 0.1)\n",
      "    BioParameter: unphysiological_offset_current = 5 pA (SRC: KnownError, certainty 0)\n",
      "    BioParameter: unphysiological_offset_current_del = 50 ms (SRC: Testing IClamp, certainty 0)\n",
      "    BioParameter: unphysiological_offset_current_dur = 2000 ms (SRC: KnownError, certainty 0)\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-18 11:52:52.059591. Please add timezone info to timestamps.\n",
      "  chunks = self.iterencode(o, _one_shot=True)\n"
     ]
    }
   ],
   "source": [
    "print params.bioparameter_info(\"  \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Change some parameters and run again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "********************\n",
      "\n",
      "   Going to generate c302_C0_Syns and run for 1000 on jNeuroML\n",
      "\n",
      "********************\n",
      "Set default parameters for C0\n",
      "c302      >>>  Setting parameter inh_syn_vth = -30 mV\n",
      "c302      >>>  Setting parameter neuron_to_neuron_elec_syn_gbase = 0.002 nS\n",
      "c302      >>>  Setting parameter exc_syn_vth = -20 mV\n",
      "c302      >>>  Setting parameter neuron_to_neuron_inh_syn_conductance = 20 nS\n",
      "c302      >>>  Setting parameter neuron_to_neuron_exc_syn_conductance = 10 nS\n",
      "Opened Excel file: /Users/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/../../../CElegansNeuronTables.xls\n",
      "Opened Excel file: /Users/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/../../../CElegansNeuronTables.xls\n",
      "c302      >>>  Writing generated network to: /Users/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/examples/c302_C0_Syns.nml\n",
      "(Re)written network file to: examples/c302_C0_Syns.nml\n",
      "c302      >>>  Finished simulation of LEMS_c302_C0_Syns.xml and have reloaded results\n",
      "c302      >>>  All cells: ['VD12', 'VB11', 'URYDL', 'SMDDR', 'ASHL', 'AIZL']\n",
      "c302      >>>  Plotting neuron voltages\n",
      "c302      >>>  Generating plots for: Membrane potentials of 6 neuron(s) (Syns C0)\n",
      "pyNeuroML >>> Generating plot: Membrane potentials of 6 neuron(s) (Syns C0)\n"
     ]
    },
    {
     "data": {
      "image/png": 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Aqd4vxurju0yzx3c9T+XXdcsWRsQDpFqmUaSax8mkc8s3JL0UET+sWaXYzlM0ZsD868nV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\n7v1e9hRtGdbn4rlR+j1Im/3avrV2DnI9++VLpF6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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1045eaa10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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t1Lho0SIWLVrkL2BjzJhp7N3C9jnzUU0xMLCaGTPeAYCEhIU3fYtHf1tH36u/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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1042646d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(['URYDL', 'SMDDR', 'VD12', 'VB11', 'AIZL', 'ASHL'],\n",
       " ['URYDL', 'VD12', 'AIZL'],\n",
       " <parameters_C0.ParameterisedModel at 0x104211c10>,\n",
       " [])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting naive datetime as local 2017-04-18 11:52:56.631024. Please add timezone info to timestamps.\n",
      "  chunks = self.iterencode(o, _one_shot=True)\n"
     ]
    }
   ],
   "source": [
    "param_overrides = {\"exc_syn_vth\": \"-20 mV\",\n",
    "                   \"inh_syn_vth\": \"-30 mV\",\n",
    "                   \"neuron_to_neuron_exc_syn_conductance\": \"10 nS\",\n",
    "                   \"neuron_to_neuron_inh_syn_conductance\": \"20 nS\",\n",
    "                   \"neuron_to_neuron_elec_syn_gbase\": \"0.002 nS\"}\n",
    "\n",
    "run_c302('Syns',\n",
    "         'C0',\n",
    "         '',\n",
    "         1000,\n",
    "         0.05,\n",
    "         'jNeuroML',\n",
    "         verbose=False,\n",
    "         plot_ca=False,\n",
    "         param_overrides=param_overrides)\n"
   ]
  },
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